Part-Time Student - Product Engineering - Urbandale, IA

Your Responsibilities

As a Part Time Student forJohn Deerelocated inUrbandale,IA, you will:

• Design, develop, and optimize robotics, perception, and AI technologies that enable automation and autonomy solutions for John Deere products.
• Develop production-quality software and algorithms for deployment on real-time edge-compute platforms.
• Research, develop, and evaluate computer vision, machine learning, and deep learning algorithms for perception and decision-making systems.
• Develop and train multi-modal AI models using camera imagery, machine telemetry, CAN signals, and other sensor data.
• Develop synthetic data generation and simulation workflows to improve model robustness and reduce data collection costs.
• Collaborate with CVML, robotics, software, systems, and product engineering teams to integrate perception capabilities into John Deere platforms.

VISA Sponsorship is NOT available for this position

What Skills You Need

• Pursuing a Bachelor's, Master's, or PhD degree in: Computer Science, Robotics, Computer Engineering, Electrical Engineering, Machine Learning/Artificial Intelligence, Data Science, Applied Mathematics; other fields may apply.
• Strong programming skills in Python and/or C++.
• Experience with machine learning and deep learning frameworks such as PyTorch or TensorFlow.
• Experience with computer vision libraries such as OpenCV.
• Understanding of machine learning fundamentals, neural networks, and model development workflows.
• Experience working with real-world data through academic projects, internships, research, or personal projects.
• Strong communication and collaboration skills.
• Ability to work independently while contributing effectively within a multidisciplinary team.
• Graduation date of May 2027 or later.
• Available to work during the academic year (16-20 hours weekly).
• Available to work during the summer semester (30-40 hours weekly).
• Must be registered as a full-time student at a U.S/local accredited university/college
• Cumulative GPA of 2.8 or above.
• Must be able to commute to the work location in Urbandale,IA on a daily basis. NOTE: Relocation assistance is not provided.

What Makes You Stand Out

• Hands-on experience developing computer vision, machine learning, perception, or robotics solutions.
• Experience with foundation models, generative AI, large vision-language models, or multimodal learning.
• Experience with 3D perception, structure-from-motion, neural rendering, Gaussian Splatting, NeRFs, SLAM, or mapping technologies.
• Strong mathematical background in linear algebra, probability, optimization, and statistics.
• Passion for innovation, autonomous systems, robotics, and solving real-world customer problems.

At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including:

• Flexible work arrangements
• Highly competitive base pay
• Savings & Retirement benefits (401K and Defined Benefit Pension)
• Healthcare benefits with a generous company contribution in the Health Savings Account
• Adoption assistance
• Employee Assistance Programs
• Tuition assistance
• Fitness subsidies and on-site gyms at specific Deere locations
• Charitable contribution match
• Employee Purchase Plan & numerous discount programs for personal use
• Vacation and Holiday Pay

$15 - $40 hourly based on published rates for business function and education level.

Follow this link to learn more about our Total Rewards Package https://bit.ly/3XCd8fL

Must be 18 years of age or older to apply

The information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines.